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Endoscopy-coupled Raman spectroscopy for in vivo discrimination of inflammatory bowel disease

机译:内窥镜耦合拉曼光谱在体内鉴别炎症性肠病

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摘要

Inflammatory bowel disease (IBD), including ulcerative colitis (UC) and Crohn's colitis (CC), affects nearly 2 million Americans, and the incidence is increasing worldwide. It has been established that UC and CC are distinct forms of IBD and require different medical care, however the distinction made between UC and CC is based upon inexact clinical, radiological, endoscopic, and pathologic features. A diagnosis of indeterminate colitis occurs in up to 15% of patients when UC and CC features overlap and cannot be differentiated; in these patients, diagnosis relies on long term follow-up, success or failure of existing treatment, and recurrence of the disease. Thus, there is need for a tool that can improve the sensitivity and specificity for fast, accurate and automated diagnosis of IBD. Here we present colonoscopy-coupled fiber probe-based Raman spectroscopy as a novel in vivo diagnostic tool for IBD. This in vivo study of both healthy control (NC, N=10) and diagnosed IBD patients with UC (N=15) and CC (N=26) aims to characterize spectral signatures of NC, UC, and CC. Samples are correlated with tissue pathology markers and endoscopic evaluation. Optimal collection parameters for detection have been identified based upon the new, application specific instrument design. The collected spectra are processed and analyzed using multivariate statistical techniques to identify spectral markers and discriminate NC, UC, and CC. Development of spectral markers to discriminate disease type is a necessary first step in the development of real-time, accurate and automated in vivo detection of IBD during colonoscopy procedures.
机译:包括溃疡性结肠炎(UC)和克罗恩氏结肠炎(CC)在内的炎症性肠病(IBD)影响近200万美国人,而且全世界的发病率正在增加。已经确定,UC和CC是IBD的不同形式,需要不同的医疗护理,但是UC和CC之间的区别是基于不精确的临床,放射学,内镜和病理学特征。当UC和CC特征重叠且无法区分时,多达15%的患者诊断为不确定性结肠炎。在这些患者中,诊断取决于长期的随访,现有治疗的成功或失败以及疾病的复发。因此,需要一种能够提高用于IBD的快速,准确和自动化诊断的灵敏度和特异性的工具。在这里,我们提出结肠镜检查耦合纤维探针为基础的拉曼光谱作为一种新型的IBD体内诊断工具。这项针对健康对照组(NC,N = 10)和诊断为UC的UC患者(N = 15)和CC(N = 26)的体内研究旨在表征NC,UC和CC的光谱特征。样品与组织病理学标记和内窥镜评估相关。基于新的专用仪器设计,已经确定了用于检测的最​​佳采集参数。使用多元统计技术对收集的光谱进行处理和分析,以识别光谱标记并区分NC,UC和CC。在结肠镜检查过程中,开发光谱标记物以区分疾病类型是开发IBD的实时,准确和自动化体内检测的必要第一步。

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  • 来源
  • 会议地点 San Francisco CA(US)
  • 作者单位

    Department of Biomedical Engineering, Vanderbilt University, VU Station B Box 351631, Nashville, TN 37235;

    Department of Biomedical Engineering, Vanderbilt University, VU Station B Box 351631, Nashville, TN 37235;

    Department of Nanomedicine and Biomedical Engineering, University of Texas Health Science Center at Houston, 1881 east Road, Houston, TX 77054;

    Department of Medicine, Vanderbilt University, 1211 21st Ave South, Suite 220 Medical Arts Building, Nashville, TN 37232;

    Department of Medicine, Vanderbilt University, 1211 21st Ave South, Suite 220 Medical Arts Building, Nashville, TN 37232;

    Department of Medicine, Vanderbilt University, 1211 21st Ave South, Suite 220 Medical Arts Building, Nashville, TN 37232;

    Department of Medicine, Vanderbilt University, 1211 21st Ave South, Suite 220 Medical Arts Building, Nashville, TN 37232;

    Department of Biomedical Engineering, Vanderbilt University, VU Station B Box 351631, Nashville, TN 37235;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Raman spectroscopy; Inflammatory bowel disease; Crohn's colitis; Ulcerative colitis; Superficial detection; Endoscopy; Multivariate statistics;

    机译:拉曼光谱炎症性肠病;克罗恩氏结肠炎;溃疡性结肠炎;表面检测;内窥镜检查多元统计;

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